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This paper uses conditional value-at-risk (CVaR) measures to model risks associated with the decisions in a stochastic environment.
(C_3:) Using a medium-term lag of the sentiment measures to model the medium-term reversal effect of investor sentiment, the outperformance of the sentiment strategy shows stable results.
The use of such measures to model disease progression in NPIs may be problematic, as such interventions often not only focus on slowing progression of the disease, but also on independence of patients and quality of life (both patients' and caregivers') such as those assessed in Martikainen [29].
An alternative may be to use intermediate outcome measures to model future behavioral change.
We then used these measures to model thestability of candidate housekeeping genes using a randomised test of variance.
At the same time, they indicate the limitations of current neuroimaging and neuropathological measures to model and predict cognitive decline.
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Methods based on probability statistics use the minimum change of time and space measure to model the method of probability.
Here we designed the "covariability" measure to model regulation strength between two genes in each sample.
Measures can be used to apply energy conservation measures to models—hence the name to create reports and visualizations, and even to sew together custom workflows.
Genetic effects on behavioural measures thought to model anxiety have been reported on 15 mouse chromosomes.
Objective measures aim to model this assessment, to give accurate estimates of quality when compared with subjective tests.
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